To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …

The flexible job shop scheduling problems (FJSP) has been studied for many years, and
many different mathematical models and solution approaches have been developed. With …

Production scheduling is the central link between enterprise production and operation
management and is also the key to realising efficient, high-quality and sustainable …

In recent years, the flexible job shop dynamic scheduling problem (FJDSP) has received
considerable attention; however, FJDSP with transportation resource constraint is seldom …

Digital factories are poised to achieve unseen levels of resiliency and flexibility, facing
increasingly demanding requirements by customers and market conditions. Digital twins are …

This study proposes an approach to minimize the maximum makespan of the integrated
scheduling problem in flexible job-shop environments, taking into account conflict-free …

Assembly sequence planning (ASP) is a critical challenge in the manufacturing industry,
involving the arrangement of components to maximize production efficiency and reduce …

The smart shop floor is the basic unit to realize intelligent manufacturing. Digital twin (DT)
technology is a virtual presentation of the physical world and provides model support for …

Synchronous scheduling of transportation resources such as automated guided vehicles
(AGVs) and production resources can effectively improve the production efficiency of an …

The digital twin is an emerging technology that enhances industrial digitalization, as it
establishes a dynamic virtual model that emulates a specific phenomenon of the …